People

Languages: Python, R, C++, SQL | Primary Skill: Machine learning, Deep Learning, Libraries in Python (Data Science), Tableau

Programming: C# .net, ASP.Net, Java | Web Development: HTML, CSS | Database: MySQL, SQL Server | Other: Networking, Basic Linux, Photoshop

Python, R, SQLServer, Tableau, Power BI, Excel, Matplotlib, Seaborn, plotly, ggplot, Statistics, Data Analysis, Machine Learning, Predictive Modelling, Deep Learning, Data Visualization, Data Exploration, Time Series, Data Pre-processing

Programming: Python, MySQL, PostgreSQL, Java, JavaScript | DevOps: Docker, Kubernetes, Ansible, GIT, JIRA | Data Visualization: Power BI / Tableau/ Matplotlib/ Seaborn | Web Development | Django/Flask Web Backend and API Development, HTML/CSS/React Frontend Development | Other: CISCO Networking, Cloud Operations, QGIS

Languages: Python, SQL | Frameworks: Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn | Platforms: Jupyter Notebook, Google Colab, MS-Office, GitHub, VSCode, Anaconda, Excel, Tableau, Power BI | Professional Skills: Data Science, Data Analytics, Business Analytics, Power BI, ML Modelling, ML Deployment.

Java, Mobile Application Development, Vulnerability Assessment & Penetration Testing, Python, Competent knowledge about Cybersecurity Frameworks such as ISO 27001, NIST, COBIT, GDPR.

R - Intermediate, Python - Intermediate, D3.js - Beginner, JavaScript - Beginner, SQL - Beginner, React.js - Beginner, Familiar with OpenBB Terminal

Python: SciKit-learn, Numpy, Pandas, Matplotlib, Seaborn, Scipy | Computer Vision | Deep Learning, Tensorflow, Keras, OpenCV, Architectures - ResNet, VGGNet | Model Deployment | Flask, Docker | PowerApps, PowerBI |Machine Learning Algorithms | CNN, LSTM, Regression, Classification, Naive Bayes, K-means Clustering, PCA | SQL | Product Development

An expert IT Administrator with experience in network management, understanding of TCP and IP protocols, ability to configure LAN/WAN; ability to troubleshoot, and strong interpersonal skills.

A beginner level Data Scientist/ Business Analyst with knowledge in Python and Python libraries, Exploratory Data Analysis, Machine Learning, Statistical Methods, SQL, Jupyter Notebook, MySQL Workbench, MS Office: Word (Basic), Excel (Basic), PowerPoint (Basic).